Ventilator asynchrony is a prevalent challenge in critical care medicine, with an incidence ranging from 10% to 85%. This mismatch between a patient’s respiratory efforts and the ventilator’s delivered breaths is associated with poor clinical outcomes, including prolonged ICU stays, increased mortality rates, and respiratory muscle dysfunction. Both patient-related factors—such as respiratory drive variations due to sepsis or acute respiratory distress syndrome (ARDS)—and ventilator-related factors like trigger sensitivity and flow settings contribute to asynchrony. Early recognition and management are crucial to optimize patient comfort, improve ventilator efficiency, and enhance clinical outcomes [1, 2] [Ref: Algorithm 80.1].